Michael Wang

According to our database, Michael Wang authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing.

Tejin Cai, Kenneth Herner, Tingjun Yang, Michael Wang, Maria Acosta Flechas, Philip C. Harris, Burt Holzman, Kevin Pedro, Nhan Tran

Comput. Softw. Big Sci., December, 2023

2022

DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images.

Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner, Brian Nord, Michael H. L. S. Wang, A. Jacob Amsellem, K. Downey, S. Jenkins, Diana Kafkes, Z. Zhang

Astron. Comput., 2022

In-network fractional calculations using P4 for scientific computing workloads.

Shivam Patel, Rigden Atsatsang, Kenneth M. Tichauer, Michael H. L. S. Wang, James B. Kowalkowski, Nik Sultana

Proceedings of the 5th International Workshop on P4 in Europe, 2022

2021

A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images.

Chihway L. Chang, Alex Drlica-Wagner, S. M. Kent, Brian Nord, Donah Michelle Wang, Michael H. L. S. Wang

Astron. Comput., 2021

2020

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments.

Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran

Frontiers Big Data, 2020